---

Biography

I am a final-year Ph.D. student at the Computer Science Department, Rutgers University, under the supervision of Prof. Desheng Zhang. I also work closely with Prof. Tian He and Prof. Yunhuai Liu.

My research interests broadly lie in Mobile Sensing, Human-centric Cyber-Physical Systems, Data Science, Generative AI, and Mobile and Ubiquitous Computing for smart cities. My work involves various techniques, such as large language models (LLMs), large sensor models (LSM), efficient machine learning, unsupervised machine learning, cross-domain data fusion, and large-scale system optimization & deployment. I have been investigating platforms across more than 300 cities on 2 continents with 2 billion E-commerce orders, 300 thousand vehicles, 500 thousand mobile devices, and 500 million residents involved.

My technical contributions have led to more than 20 papers in premium CS venues, e.g., IMWUT/UbiComp, KDD, ICDE, VLDB, EMNLP, TKDE, SIGSPATIAL, CIKM, and SDM. I have served as TPC, PC member or reviewer for top conferences and journals in Mobile Computing (Mobicom Artifact Evaluation, IMWUT/Ubicomp, TOSN) and Data Science and AI (NIPS, ICML, ICLR, TMLR, AISTATS, KDD, AAAI, EMNLP, WWW, DMLR, WSDM, SDM, ICWSM).

I am currently on the job market and open to exploring various opportunities. Please feel free to contact me (zhiqing.hong@rutgers.edu) if you are interested in discussing potential collaborations or positions!

Recent News

Feb. 2025: One first-author paper accepted by IEEE TMC.

Jan. 2025: Invited to serve as a reviewer for ICML 2025.

Jan. 2025: Invited to serve as a reviewer for Transactions on Machine Learning Research (TMLR).

Dec. 2024: One co-authored paper about GNSS Mobile Sensing accepted by Percom 2025.

Dec. 2024: One second-authored paper about Generative AI for IoT Trajectory Generation accepted by SDM 2025.

Nov. 2024: Glad to be recognized as Top Reviewer for NIPS 2024.

Nov. 2024: One second-authored paper about LLMs for Spatial Language accepted by KDD 2025.

Oct. 2024: Invited talk about Generalizable Human Behavior Sensing at Ubicomp/FairComp 2024, Melbourn, Australia.

Oct. 2024: One co-authored paper about Interpreting Foundation Language Models accepted by EMNLP 2024.

Sep. 2024: One co-authored paper accepted by SIGSPATIAL 2024.

Aug. 2024: Serve as reviewer for KDD 2025 and PC member for AAAI 2025.

July. 2024: Two co-authored papers accepted by CIKM 2024.

June. 2024: One second-authored paper accepted by VLDB 2024.

May. 2024: One paper accepted by TKDE.

May. 2024: Serve as Reviewer for NIPS 2024.

May. 2024: Serve as a PC member for ICWSM 2025.

May. 2024: Three co-authored papers accepted by KDD 2024.

Apr. 2024: Two papers accepted by IMWUT/Ubicomp'24.

Feb. 2024: Serve as a PC member for MobiCom 2024 Artifacts Evaluation.

Jan. 2024: Serve as a Reviewer for KDD 2024, WWW 2024.

Dec. 2023: Receive ICDM Travel Grant.

Dec. 2023: Serve as a Reviewer for IMWUT/Ubicomp'24.

Nov. 2023: Serve as a Reviewer for DMLR (first round of submission) and AISTATS 2024, PC member for LREC-COLING 2024.

Oct. 2023: Serve as a PC member for AAAI 2024.

Sep. 2023: Serve as a reviewer for TOSN, PC member for ICWSM 2024 and SDM 2024.

Aug. 2023: Serve as a PC member for WSDM 2024.

Aug. 2023: Two papers accepted by CIKM'23.

Aug. 2023: Serve as Reviewer for EMNLP 2023.

Feb. 2023: One co-authored paper accepted by ICDE'23.

Feb. 2023: Serve as Reviewer for KDD 2023.

Aug. 2022: Two papers accepted by SIGSPATIAL'22.

Aug. 2022: One paper accepted by CIKM'22.

Apr. 2022: Two papers accepted by Ubicomp'22.

Mar. 2021: Visit JD Logistics, AI and Data Science Group, hosted by Prof. Tian He.

Selected Publications

[IMWUT/Ubicomp’24] CrossHAR: Generalizing Cross-dataset Human Activity Recognition via Hierarchical Self-Supervised Pretraining PDF
Zhiqing Hong, Zelong Li, Shuxin Zhong, Wenjun Lyv, Haotian Wang, Yi Ding, Tian He, and Desheng Zhang
Highlight: Sensor Foundation Model for generalizable human behavior sensing (Top 2 most read papers in Ubicomp, 2024 May Volumn)

[IMWUT/Ubicomp’24] SmallMap: Low-cost Community Road Map Sensing with Uncertain Delivery Behavior PDF
Zhiqing Hong, Haotian Wang, Yi Ding, Guang Wang, Tian He, and Desheng Zhang
Highlight: Generative AI for urban map generation (Algorithm adopted by industry partners)

[TKDE’24] Nationwide Behavior-Aware Coordinates Mining from Uncertain Delivery Events PDF
Zhiqing Hong, Guang Wang, Wenjun Lyu, Baoshen Guo, Yi Ding, Haotian Wang, Shuai Wang, Yunhuai Liu, and Desheng Zhang
Highlight: Nationwide Deployed Mobile Sensing System for location sensing (30 million+ locations across 366 cities)